An Improved Multi-Frame Coherent Integration Algorithm for Heterogeneous Radar

Round 1

Reviewer 1 Report

The paper proposes an improved multi-frame coherent integration algorithm for weak target detection in heterogeneous radar. While the abstract highlights the challenge and need for multi-frame integration, it lacks specificity and novelty. The discussion and conclusion provide a detailed overview of the proposed method, but lack specific results and comparative analysis. Concrete evidence and addressing limitations are needed to strengthen the contributions. Thorough proofreading is essential for clarity.

 

Positive Contributions:

Innovative Approach: The introduction of the improved Keystone transform for calibration and compensation is promising and has the potential to enhance coherent integration in heterogeneous radar systems.

Relevance to Weak Target Detection: Addressing the challenge of weak target detection and proposing multi-frame coherent integration is relevant to current research trends in radar signal processing.

Application Potential: The discussion highlights the proposed method's adaptability to phased array radars and passive radar systems, indicating potential real-world applications.

 

Suggestions for Improvement:

Specificity and Novelty: The abstract lacks specificity regarding the uniqueness and advantages of the proposed algorithm. Providing concrete details on how the improved Keystone transform overcomes the challenges of inter-frame heterogeneous radar signals would strengthen the abstract.

Concrete Simulation Results: The discussion and conclusion lack specific simulation results and performance metrics to validate the proposed method's effectiveness. Including numerical values and comparative analysis with related approaches would enhance the section's rigor.

Comparative Analysis: The section briefly mentions advantages over existing methods but lacks a thorough comparative analysis. Demonstrating how the proposed method outperforms related techniques and explaining the reasons for superiority is essential.

Addressing Limitations: The discussion and conclusion do not address potential limitations or challenges encountered during the study. Acknowledging and discussing limitations would provide a more balanced perspective.

Practical Implications: Elaborating on the practical implications of the proposed method in real-world radar systems and potential use cases would enhance the section's relevance.

Thorough Proofreading and Correction: A thorough proofreading and correction of the abstract, discussion, and conclusion are essential to ensure proper grammar, sentence structure, and overall coherence of the text. Please review these sections carefully to address any typographical errors or grammatical inconsistencies.

In conclusion, the paper proposes an improved multi-frame coherent integration algorithm for weak target detection in heterogeneous radar. While the topic is relevant, the abstract and discussion lack specificity and concrete evidence to substantiate the proposed method's advantages. Providing more details on the improved Keystone transform, specific simulation results, and a comprehensive comparative analysis with related techniques will strengthen the paper's rigor and contribution to the field. Additionally, addressing potential limitations and elaborating on practical implications will enhance the paper's overall impact.

A thorough proofreading and correction of the abstract, discussion, and conclusion are essential to ensure proper grammar, sentence structure, and overall coherence of the text. Please review these sections carefully to address any typographical errors or grammatical inconsistencies.

Author Response

We are thankful to your time and effort invested in assessing our manuscript entitled “An Improved Multi-frame Coherent Integration Algorithm for Heterogeneous Radar” (remotesensing-2490742). Those comments are all valuable and very helpful for revising and improving our paper, as well as a great significance to our researches. We have studied comments carefully and have made corrections that we hope to meet with approval. Revised portion are marked in highlight in the manuscript. The responds to the comments can be seen in the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

This manuscript addresses a Multi-frame Coherent Integration Algorithm for Heterogeneous Radar with different parameters across different frames.  The novelty and level of detail provided by this paper is enough.

However , I think this article must undergo major revisions before it can be published.

 

General and specific comments are as follow.

 

Q1. The discussions in the article are all validated using simulation results. But in reality, the situation can be very complex. A simple case is the impact of noise and the situation of multiple targets. How did the author consider these two influencing factors?

Q2. In the author's discussion, it seems to have overlooked the changes in inter frame phase. Does the paper assume continuous phase between frames? Especially when the carrier frequency changes? It seems that the author should discuss this issue.

 

Q3:On the problem of range compression, the author ignores the amplitude of sinc function. I still want to know how distance compression is achieved? Especially when the parameters of each frame are different?

 

Q4: In the process of discussing the compensation of phases A and B, can some illustrations be added to enable readers to have a clearer understanding of the intermediate results of these two phase compensations?

The English proficiency is not bad because the author used many formulas, and it is important to add pictures to help readers understand the physical meaning of these formulas more clearly

Author Response

We are thankful to your time and effort invested in assessing our manuscript entitled “An Improved Multi-frame Coherent Integration Algorithm for Heterogeneous Radar” (remotesensing-2490742). Those comments are all valuable and very helpful for revising and improving our paper, as well as a great significance to our researches. We have studied comments carefully and have made corrections that we hope to meet with approval. Revised portion are marked in highlight in the manuscript. The responds to the comments can be seen in the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The submitted paper “An Improved Multi-frame Coherent Integration Algorithm for Heterogeneous Radar” proposes a new approach for coherent integration of multi frame heterogeneous radar signals to overcome the drawback related to the Doppler frequency and phase mismatching.

The authors propose an improved Keystone transform to align in range and in Doppler the different frames, able for coherent integration. The results showed, without increasing the computational burden, an improvement in SNR and in Doppler resolution.

 

I would suggest avoiding the use of the term experiments, which suggests experimental data and not simulations as occurs in the paper. See lines: 22, 110, 395, 407, 441.

Author Response

We are thankful to your time and effort invested in assessing our manuscript entitled “An Improved Multi-frame Coherent Integration Algorithm for Heterogeneous Radar” (remotesensing-2490742). Those comments are all valuable and very helpful for revising and improving our paper, as well as a great significance to our researches. We have studied comments carefully and have made corrections that we hope to meet with approval. Revised portion are marked in highlight in the manuscript. The responds to the comments can be seen in the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

The author responded well to my question in cover letter and response. Corresponding images and explanations have also been added to the main text. I think the paper has good innovation and is worth publishing in this journal. I also hope that they can apply this method to actual data in the future